Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...
Abstract: In this article, we present a principled study on establishing a recursive Bayesian estimation scheme using B-splines in Euclidean spaces. The use of recurrent control points as the state ...
1 The University of Tokyo, Department of Complexity Science and Engineering Graduate School of Frontier Sciences, Japan 2 The University of Tokyo, Japan Introduction: With the increasing interest in ...
Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...
ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...
In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...
The rstan package is probably the most important but also may prove to be finicky to install. See detailed instructions here: https://github.com/stan-dev/rstan/wiki ...
Tutorial tags/keywords napari, naive bayes, color, rgb, machine learning, napari ...
Maximum A Posteriori (MAP) decoding is a technique used to estimate the most probable value of an unknown quantity based on observed data and prior knowledge, especially in digital communications and ...
Resource analysis aims to derive symbolic resource bounds of programs. Although numerous automatic, manual, static, and data-driven resource analysis techniques have been developed, they each have ...
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